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hicream: HIC diffeREntial Analysis Method

Perform Hi-C data differential analysis based on pixel-level differential analysis and a post hoc inference strategy to quantify signal in clusters of pixels. Clusters of pixels are obtained through a connectivity-constrained two-dimensional hierarchical clustering.

Version:0.0.2
Depends:R (≥ 4.0.0),reticulate
Imports:adjclust,auk,BiocGenerics,csaw,diffHic,dplyr,edgeR,GenomeInfoDb,GenomicRanges,InteractionSet,limma,Matrix, methods,reshape2,rlang,S4Vectors, stats,SummarizedExperiment, utils,viridis
Suggests:knitr,rmarkdown
Published:2025-11-19
DOI:10.32614/CRAN.package.hicream
Author:Elise Jorge [aut, cre], Sylvain FoissacORCID iD [aut], Toby HockingORCID iD [aut], Pierre NeuvialORCID iD [aut], Nathalie VialaneixORCID iD [aut], Gilles Blanchard [ctb], Guillermo DurandORCID iD [ctb], Nicolas Enjalbert-Courrech [ctb], Etienne Roquain [ctb]
Maintainer:Elise Jorge <elise.jorge at inrae.fr>
BugReports:https://forge.inrae.fr/scales/hicream/-/issues
License:GPL (≥ 3)
URL:https://forge.inrae.fr/scales/hicream
NeedsCompilation:no
SystemRequirements:Python (>= 3.9)
Materials:README,NEWS
CRAN checks:hicream results

Documentation:

Reference manual:hicream.html ,hicream.pdf
Vignettes:Installation instructions for hicream (source,R code)
Introduction to hicream (source,R code)

Downloads:

Package source: hicream_0.0.2.tar.gz
Windows binaries: r-devel:hicream_0.0.2.zip, r-release:hicream_0.0.2.zip, r-oldrel:hicream_0.0.2.zip
macOS binaries: r-release (arm64):hicream_0.0.1.tgz, r-oldrel (arm64):hicream_0.0.1.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available
Old sources: hicream archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=hicreamto link to this page.


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